Manager, Data Scientist- Capital One Data Insights and Analytics

Capital One; New York (NY); On-site; USD 215,000 - 246,000; Full time

Job summary

Capital One is seeking a Data Scientist to join the Commercial Business Analysis (CBA) and CODIA teams. You will partner with data scientists, analysts, and relationship managers to deliver data-driven value for clients and the bank.

The role covers building and validating models, modernizing data infrastructure, and supporting long-term technical integrations across multiple business projects, including risk assessment and portfolio management.

Qualifications

• Bachelor's degree in a quantitative field plus 6 years analytics experience or
• Master's degree in a quantitative field or MBA with quantitative concentration plus 4 years analytics experience or
• PhD in a quantitative field plus 1 year analytics experience
• At least 1 year experience with open source languages for large-scale data analytics
• At least 1 year experience working with machine learning
• At least 1 year experience utilizing relational databases

Responsibilities

• Partner with cross-functional team to deliver a product creating value for clients.
• Collaborate with enterprise AI teams to build ML models through all development phases.
• Conduct rigorous statistical analysis and back-test against third-party data.
• Modernize data infrastructure with analytical tools on core data schemas and real-time validation.
• Support long-term technical integrations for complex business projects including run-off analysis and underwriting automation.

Skills

Statistics

Machine learning

Relational databases

Open-source programming

Python/Scala/R

Education

Bachelor's in quantitative field

Master's in quantitative field or MBA

PhD in quantitative field

Tools

AWS

SQL

Job description

Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.

The Commercial Business Analysis (CBA) team partners with senior business leaders across Capital One to deliver on our vision to become the top middle market bank. As part of the team’s scope, we have a Capital One Data Insights and Analytics (CODIA) team dedicated to innovating with new sources of data to drive long-term value for our clients and the bank. We are currently expanding to integrate advanced machine learning models, modernize our data infrastructure, and identify new delivery models.

In this role, you will:

• Partner with a cross-functional team of data scientists, business analysts, and relationship managers to deliver a product that creates real value for our clients.
• Partner with enterprise AI teams to build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
• Conduct rigorous statistical analysis and back-testing against third-party data to integrate new datasets and mathematically validate insights.
• Modernize data infrastructure by developing tailored analytical tools on core enterprise data schemas and implementing real-time automated validation controls.
• Support long-term technical integrations for complex business projects, including comprehensive run-off analysis, underwriting automation, and advanced risk and portfolio management.

The Ideal Candidate is:

• Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.
• Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands‑on experience developing data science solutions using open‑source tools and cloud computing platforms.
• Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.
• A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.

Basic Qualifications:

• Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
• A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics
• A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics
• A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics
• At least 1 year of experience leveraging open source programming languages for large scale data analysis
• At least 1 year of experience working with machine learning
• At least 1 year of experience utilizing relational databases

Preferred Qualifications:

• PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics
• At least 1 year of experience working with AWS
• At least 4 years’ experience in Python, Scala, or R for large scale data analysis
• At least 4 years’ experience with machine learning and embeddings
• At least 4 years’ experience with SQL
• Experience working with consumer and/or commercial banking data

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

McLean, VA: $197,300 - $225,100 for Mgr, Data Science

New York, NY: $215,200 - $245,600 for Mgr, Data Science

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.

No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [e-mail]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to [e-mail]

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Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).